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We propose a generalized smooth bootstrap scheme for estimating the bias By and mean square error My of a kernel density estimator, at y, based on i.i.d data. A number of exist-ing bootstrap schemes are special case of our proposal. For a fairly broad class of kernel and bandwidth hn, we obtain the rates at which E B